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OBOS-ligaen
Skeid
T T T T T
5–2
Full-time
Odd
U U T U T

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Skeid Odd
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,0
1,0
Over 2.5 Ø 75%
100%
50%
Both score Ø 75%
67%
83%
Average goals
4,2
3,7
Scored
0,8
1,2
Conceded
3,3
2,5
Goal diff per game
-2,5
-1,3
This season — OBOS-ligaen · 29/29 matches
Win Ø 16%
3%
28%
Points per game
0,4
1,1
Over 2.5 Ø 55%
62%
48%
Both score Ø 73%
79%
66%
Average goals
3,2
2,8
Scored
1,0
1,2
Conceded
2,2
1,6
Goal diff per game
-1,2
-0,3
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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The table before the match Skeid 16. · Odd 9.
# Team K V U T +/− P
1 Lillestrom 29 24 5 0 +66 77
2 Start 29 15 7 7 +20 52
3 Aalesund 27 14 9 4 +25 51
4 Kongsvinger 28 14 8 6 +16 50
5 Lyn 29 14 5 10 +14 47
6 Egersund 27 13 7 7 +12 46
7 Sogndal 29 12 7 10 +4 43
8 Ranheim 28 12 6 10 -4 42
9 Odd 29 8 9 12 -10 33
10 hodd 29 8 8 13 -18 32
11 Stabaek 29 7 10 12 -5 31
12 Asane 29 7 9 13 -15 30
13 Raufoss 29 7 8 14 -13 29
14 Moss 29 7 6 16 -24 27
15 Mjondalen 29 6 7 16 -34 25
16 Skeid 29 1 9 19 -34 12

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

Recent head-to-head meetings

31. Mar -25 Odd – Skeid 2–1

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.